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When clients visit your office, the decor makes a strong impression. Infuse your space with classic style by choosing a dark wood computer desk. The rich finish creates a touch of elegance that's sure to be noticed by guests. Large drawer/shelf with metal runners and safety stops. Wood computer desk with drawers features a flip-down panel to hold a keyboard and mouse. Small drawer with faux front stores your smaller items. Simple wood computer desk maintains a sleek, minimal look with plenty of room for essentials. Constructed of engineered wood with a Jamocha wood finish. Assembly is required. Sauder(R) Shoal Creek Computer Desk with Flip Down Computer Tray, Jamocha Wood is one of many Computer Desks available through Office Depot. Made by Sauder.

With a great blend of form and function, this desk adds a stylish transitional look to your office while also offering an expansive amount of space to keep your everyday accessories right where you need them. Use the divided drawer to make sure that your supplies are organized. Removable divider in the drawer makes it easy to keep supplies organized, and the metal runner offers smooth opening and closing. Made of sturdy engineered wood for enduring use. Assembly required. Sauder(R) Shoal Creek Computer Desk with Flip Down Computer Tray, Soft White is one of many Computer Desks available through Office Depot. Made by Sauder.

With a great blend of form and function, this desk adds a stylish transitional look to your office while also offering an expansive amount of space to keep your everyday accessories right where you need them. Use the divided drawer to make sure that your supplies are organized. Removable divider in the drawer makes it easy to keep supplies organized, and the metal runner offers smooth opening and closing. Made of sturdy engineered wood for enduring use. Assembly required. Sauder(R) Shoal Creek Computer Desk With Flip Down Computer Tray, Oiled Oak is one of many Computer Desks available through Office Depot. Made by Sauder.

Computation and communication technologies underpin work and development in many different areas. Among them, Computer-Aided Design of electronic systems and eLearning technologies are two areas which, though different, in fact share many concerns. The design of CAD and eLearning systems already touches on a number of parallels, such as system interoperability, user interfaces, standardisation, XML-based formats, reusability aspects, etc. Furthermore, the teaching of Design Automation tools and methods is particularly amenable to a distant or blended learning setting, and implies the interconnection of typical CAD tools, such as simulators or synthesis tools, with eLearning tools. There are many other aspects in which synergy can be found when using eLearning technology for teaching and learning technology. EduTech: Computer-Aided Design Meets Computer-Aided Learning contains the proceedings of the EduTech2004 workshop, which was held in August 2004 in conjunction with the 18th IFIP World Computer Congress in Toulouse, France, and sponsored by the International Federation for Information Processing (IFIP). Organized by IFIP WG 10.5 (Design and Engineering of Electronic Systems) in cooperation with IFIP WG 3.6 (Distance Education), the workshop proceedings explore the interrelationship between these two subjects, where computer-aided design meets computer-aided learning. The book includes papers related to eLearning in the area of electronic CAD, but also includes contributions tackling general issues of eLearning that are applicable to this and many other areas such as reusability, standards, open source tools or mobility. This book will be of value to those interested in the latest developments in eLearning in general, and also to those coming from the electronic design field who want to know how to apply these developments in their area.

Discover how to streamline complex bioinformatics applications with parallel computing This publication enables readers to handle more complex bioinformatics applications and larger and richer data sets. As the editor clearly shows, using powerful parallel computing tools can lead to significant breakthroughs in deciphering genomes, understanding genetic disease, designing customized drug therapies, and understanding evolution. A broad range of bioinformatics applications is covered with demonstrations on how each one can be parallelized to improve performance and gain faster rates of computation. Current parallel computing techniques and technologies are examined, including distributed computing and grid computing. Readers are provided with a mixture of algorithms, experiments, and simulations that provide not only qualitative but also quantitative insights into the dynamic field of bioinformatics. Parallel Computing for Bioinformatics and Computational Biology is a contributed work that serves as a repository of case studies, collectively demonstrating how parallel computing streamlines difficult problems in bioinformatics and produces better results. Each of the chapters is authored by an established expert in the field and carefully edited to ensure a consistent approach and high standard throughout the publication. The work is organized into five parts: * Algorithms and models * Sequence analysis and microarrays * Phylogenetics * Protein folding * Platforms and enabling technologies Researchers, educators, and students in the field of bioinformatics will discover how high-performance computing can enable them to handle more complex data sets, gain deeper insights, and make new discoveries.

Engineers around the world depend on MATLAB for its power, usability, and outstanding graphics capabilities. Yet too often, engineering students are either left on their own to acquire the background they need to use MATLAB, or they must learn the program concurrently within an advanced course. Both of these options delay students from solving realistic design problems, especially when they do not have a text focused on applications relevant to their field and written at the appropriate level of mathematics. Ideal for use as a short-course textbook and for self-study Elementary Mathematical and Computational Tools for Electrical and Computer Engineers Using MATLAB fills that gap. Accessible after just one semester of calculus, it introduces the many practical analytical and numerical tools that are essential to success both in future studies and in professional life. Sharply focused on the needs of the electrical and computer engineering communities, the text provides a wealth of relevant exercises and design problems. Changes in MATLAB's version 6.0 are included in a special addendum. The lack of skills in fundamental quantitative tools can seriously impede progress in one's engineering studies or career. By working through this text, either in a lecture/lab environment or by themselves, readers will not only begin mastering MATLAB, but they will also hone their analytical and computational skills to a level that will help them to enjoy and succeed in subsequent electrical and computer engineering pursuits.

How can one be assured that computer codes that solve differential equations are correct? Standard practice using benchmark testing no longer provides full coverage because today's production codes solve more complex equations using more powerful algorithms. By verifying the order-of-accuracy of the numerical algorithm implemented in the code, one can detect most any coding mistake that would prevent correct solutions from being computed. Verification of Computer Codes in Computational Science and Engineering sets forth a powerful alternative called OVMSP: Order-Verification via the Manufactured Solution Procedure. This procedure has two primary components: using the Method of Manufactured Exact Solutions to create analytic solutions to the fully-general differential equations solved by the code and using grid convergence studies to confirm the order-of-accuracy. The authors present a step-by-step procedural guide to OVMSP implementation and demonstrate its effectiveness. Properly implemented, OVMSP offers an exciting opportunity to identify virtually all coding 'bugs' that prevent correct solution of the governing partial differential equations. Verification of Computer Codes in Computational Science and Engineering shows you how this can be done. The treatment is clear, concise, and suitable both for developers of production quality simulation software and as a reference for computational science and engineering professionals.

The book deals with the most recent technology of distributed computing. As Internet continues to grow and provide practical connectivity between users of computers it has become possible to consider use of computing resources which are far apart and connected by Wide Area Networks. Instead of using only local computing power it has become practical to access computing resources widely distributed. In some cases between different countries in other cases between different continents. This idea of using computer power is similar to the well known electric power utility technology. Hence the name of this distributed computing technology is the Grid Computing. Initially grid computing was used by technologically advanced scientific users. They used grid computing to experiment with large scale problems which required high performance computing facilities and collaborative work. In the next stage of development the grid computing technology has become effective and economically attractive for large and medium size commercial companies. It is expected that eventually the grid computing style of providing computing power will become universal reaching every user in industry and business. * Written by academic and industrial experts who have developed or used grid computing * Many proposed solutions have been tested in real life applications * Covers most essential and technically relevant issues in grid computing

"New Trends and Technologies in Computer-Aided Learning for Computer-Aided Design" contains the proceedings from the EduTech Workshop, an IFIP TC-10 Working Conference held in Perth, Australia. The workshop aimed to explore the interrelationship between computer-aided technology and computer-aided learning. Computation and communication technologies underpin work and development in many different areas. Among them, Computer-Aided Design of electronic systems and E-Learning technologies are two areas which are different but share many concerns. The design of CAD and E-Learning systems already touches on a number of parallels, such as system interoperability, user interfaces, standardization, EML-based formats, reusability aspects (of content or designs), and intellectual property rights. Furthermore, the teaching of Design Automation tools and methods is particularly amenable to a distant or blended learning setting, and implies the interconnection of typical CAD tools, such as simulators or synthesis tools, with e-learning tools.

ThisvolumeispublishedastheproceedingsoftheRussian-GermanAdvanced Research workshop on Computational Science and High Performance C- puting in Novosibirsk Academgorodok in September 2003. The contributions of these proceedings were provided and edited by the authors, chosen after a careful selection and reviewing. The workshop was organized by the Institute of Computational Techno- gies SB RAS (Novosibirsk, Russia) and the High Performance Computing Center Stuttgart (Stuttgart, Germany). The objective was the discussion of the latest results in computational science and to develop a close coope- tion between Russian and German specialists in the above-mentioned ?eld. The main directions of the workshop are associated with the problems of computational hydrodynamics, application of mathematical methods to the development of new generation of materials, environment protection pr- lems, development of algorithms, software and hardware support for hi- performance computation, and designing modern facilities for visualization of computational modelling results. The importance of the workshop topics was con?rmed by the partici- tion of representatives of major research organizations engaged in the so- tion of the most complex problems of mathematical modelling, development of new algorithms, programs and key elements of new information techno- gies. Among the Russian participants were researchers of the Institutes of the Siberian Branch of the Russian Academy of Sciences: Institute of Com- tational Technologies, Institute of Computational Mathematics and Mat- matical Geophysics, Institute of Computational Modelling, Russian Federal Nuclear Center, All-Russian Research Institute of Experimental Physics, - merovo State University.

This volume contains 27 contributions to the Second Russian-German Advanced Research Workshop on Computational Science and High Performance Computing presented in March 2005 at Stuttgart, Germany. Contributions range from computer science, mathematics and high performance computing to applications in mechanical and aerospace engineering.

The second edition of this book is a self-contained introduction to computational fluid dynamics (CFD). It covers the fundamentals of the subject and is ideal as a text or a comprehensive reference to CFD theory and practice. New approach takes readers seamlessly from first principles to more advanced and applied topics. Presents the essential components of a simulation system at a level suitable for those coming into contact with CFD for the first time, and is ideal for those who need a comprehensive refresher on the fundamentals of CFD. Enhanced pedagogy features chapter objectives, hands-on practice examples and end of chapter exercises. Extended coverage of finite difference, finite volume and finite element methods. New chapters include an introduction to grid properties and the use of grids in practice. Includes material on 2-D inviscid, potential and Euler flows, 2-D viscous flows and Navier-Stokes flows to enable the reader to develop basic CFD simulations. Includes best practice guidelines for applying existing commercial or shareware CFD tools.